scholarly journals Staffing Up and Dropping Out

1997 ◽  
Vol 5 ◽  
pp. 16 ◽  
Author(s):  
Mark Fetler
Keyword(s):  
School Size ◽  
Dropout Rate ◽  
School Enrollment ◽  
Dropout Rates ◽  
Dropping Out ◽  
Teacher Qualifications ◽  
Qualified Teachers ◽  
Employment Standards ◽  
Hiring Policies ◽  
The Relationship

Growing public school enrollment and the need to maintain or improve service to students has increased the demand for teachers, perhaps more rapidly than existing sources can accommodate. While some schools recruit well qualified teachers by offering higher salaries or better working conditions, others may satisfy their need for staff by relaxing hiring standards or assigning novice teachers to difficult classrooms. Schools' hiring policies have consequences for student success. Dropout rates tend to be higher where faculties include a greater percentage of minimally educated teachers or teachers with little experience. The relationship between dropout rate and teacher qualifications is independent of student poverty, school size, and location. A proposed strategy to reduce dropout rates is to encourage higher preparation and employment standards, and to provide appropriate classroom assignments, mentoring, and support for new teachers.

scholarly journals Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis (Preprint)

2020 ◽  
Author(s):  
Gideon Meyerowitz-Katz ◽  
Sumathy Ravi ◽  
Leonard Arnolda ◽  
Xiaoqi Feng ◽  
Glen Maberly ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Meta Analysis ◽  
Dropout Rate ◽  
Dropout Rates ◽  
Dropping Out ◽  
Future Research ◽  
Controlled Trials ◽  
Qualitative Synthesis ◽  
Attrition Rates ◽  
Central Register

BACKGROUND Chronic disease represents a large and growing burden to the health care system worldwide. One method of managing this burden is the use of app-based interventions; however attrition, defined as lack of patient use of the intervention, is an issue for these interventions. While many apps have been developed, there is some evidence that they have significant issues with sustained use, with up to 98% of people only using the app for a short time before dropping out and/or dropping use down to the point where the app is no longer effective at helping to manage disease. OBJECTIVE Our objectives are to systematically appraise and perform a meta-analysis on dropout rates in apps for chronic disease and to qualitatively synthesize possible reasons for these dropout rates that could be addressed in future interventions. METHODS MEDLINE (Medical Literature Analysis and Retrieval System Online), PubMed, Cochrane CENTRAL (Central Register of Controlled Trials), and Embase were searched from 2003 to the present to look at mobile health (mHealth) and attrition or dropout. Studies, either randomized controlled trials (RCTs) or observational trials, looking at chronic disease with measures of dropout were included. Meta-analysis of attrition rates was conducted in Stata, version 15.1 (StataCorp LLC). Included studies were also qualitatively synthesized to examine reasons for dropout and avenues for future research. RESULTS Of 833 studies identified in the literature search, 17 were included in the review and meta-analysis. Out of 17 studies, 9 (53%) were RCTs and 8 (47%) were observational trials, with both types covering a range of chronic diseases. The pooled dropout rate was 43% (95% CI 29-57), with observational studies having a higher dropout rate (49%, 95% CI 27-70) than RCTs in more controlled scenarios, which only had a 40% dropout rate (95% CI 16-63). The studies were extremely varied, which is represented statistically in the high degree of heterogeneity (I<sup>2</sup>&gt;99%). Qualitative synthesis revealed a range of reasons relating to attrition from app-based interventions, including social, demographic, and behavioral factors that could be addressed. CONCLUSIONS Dropout rates in mHealth interventions are high, but possible areas to minimize attrition exist. Reducing dropout rates will make these apps more effective for disease management in the long term. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42019128737; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019128737

Dropout Rates After High-Stakes Testing in Elementary School: A Study of the Contradictory Effects of Chicago’s Efforts to End Social Promotion

2005 ◽  
Vol 27 (4) ◽  
pp. 341-364 ◽  
Author(s):  
Elaine M. Allensworth
Keyword(s):  
Adverse Effects ◽  
Standardized Tests ◽  
Grade Retention ◽  
High Stakes Testing ◽  
Dropout Rates ◽  
Dropping Out ◽  
High Stakes ◽  
Beneficial Effects ◽  
Using Data ◽  
The Relationship

Across the country, grade promotion is tied increasingly to performance on standardized tests. One concern about such policies is that they might increase dropout rates. Policy proponents counter that adverse effects of grade retention should be more than offset by beneficial effects from rising achievement. Using data from Chicago, this study examines dropout rates after implementation of an eighth-grade promotion standard. The results indicate that retention by the policy did have adverse effects on dropping out, but the relationship was smaller than seen with traditional teacher-initiated retention and was unrelated to the timing of dropping out. Systemwide, slight decreases in dropout rates among the 90% of students who were not retained counterbalanced the higher dropout rates among those retained.

scholarly journals Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis

10.2196/20283 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e20283
Author(s):  
Gideon Meyerowitz-Katz ◽  
Sumathy Ravi ◽  
Leonard Arnolda ◽  
Xiaoqi Feng ◽  
Glen Maberly ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Meta Analysis ◽  
Dropout Rate ◽  
Dropout Rates ◽  
Dropping Out ◽  
Future Research ◽  
Controlled Trials ◽  
Qualitative Synthesis ◽  
Attrition Rates ◽  
Central Register

Background Chronic disease represents a large and growing burden to the health care system worldwide. One method of managing this burden is the use of app-based interventions; however attrition, defined as lack of patient use of the intervention, is an issue for these interventions. While many apps have been developed, there is some evidence that they have significant issues with sustained use, with up to 98% of people only using the app for a short time before dropping out and/or dropping use down to the point where the app is no longer effective at helping to manage disease. Objective Our objectives are to systematically appraise and perform a meta-analysis on dropout rates in apps for chronic disease and to qualitatively synthesize possible reasons for these dropout rates that could be addressed in future interventions. Methods MEDLINE (Medical Literature Analysis and Retrieval System Online), PubMed, Cochrane CENTRAL (Central Register of Controlled Trials), and Embase were searched from 2003 to the present to look at mobile health (mHealth) and attrition or dropout. Studies, either randomized controlled trials (RCTs) or observational trials, looking at chronic disease with measures of dropout were included. Meta-analysis of attrition rates was conducted in Stata, version 15.1 (StataCorp LLC). Included studies were also qualitatively synthesized to examine reasons for dropout and avenues for future research. Results Of 833 studies identified in the literature search, 17 were included in the review and meta-analysis. Out of 17 studies, 9 (53%) were RCTs and 8 (47%) were observational trials, with both types covering a range of chronic diseases. The pooled dropout rate was 43% (95% CI 29-57), with observational studies having a higher dropout rate (49%, 95% CI 27-70) than RCTs in more controlled scenarios, which only had a 40% dropout rate (95% CI 16-63). The studies were extremely varied, which is represented statistically in the high degree of heterogeneity (I2>99%). Qualitative synthesis revealed a range of reasons relating to attrition from app-based interventions, including social, demographic, and behavioral factors that could be addressed. Conclusions Dropout rates in mHealth interventions are high, but possible areas to minimize attrition exist. Reducing dropout rates will make these apps more effective for disease management in the long term. Trial Registration International Prospective Register of Systematic Reviews (PROSPERO) CRD42019128737; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019128737

scholarly journals A Comparative Study of Dropout Rates and Causes for Two Different Distance Education Courses

2004 ◽  
Vol 5 (2) ◽  
Author(s):  
Christos Pierrakeas ◽  
Michalis Xeno ◽  
Christos Panagiotakopoulos ◽  
Dimitris Vergidis
Keyword(s):  
Distance Education ◽  
Dropout Rates ◽  
Dropping Out ◽  
Educational Approach ◽  
Related Factors ◽  
Student Dropout ◽  
Bachelors Degree ◽  
School Conflict ◽  
The Relationship ◽  
Education Courses

This paper reports the results of a survey conducted to examine the root causes leading to student dropout at a Greek distance education university. Data was gathered from two different courses – an undergraduate course leading to a Bachelors degree in Informatics (characterized by high dropout rates), and a postgraduate course leading to a Masters degree in education (characterized by low dropout rates). A comparative analysis of these two different courses revealed important similarities in dropout percentages and the reasons cited by students for dropping out. Our analysis also revealed important differences as well. This paper presents the results of a survey designed to investigate the relationship between dropout with intrinsic (student-related) factors such as sickness, work/ school conflict etc., and extrinsic (institutional-related) factors such as study methods and materials, educational approach, and tutor influence.

scholarly journals Determinants of Dropout and Child School Enrollment: A Case Study from Rural Islamabad

2019 ◽  
Vol 3 (2) ◽  
pp. 77-89
Author(s):  
Uzma Naz ◽  
Zainab Ejaz ◽  
Naveed Khan
Keyword(s):  
Rural Areas ◽  
Probit Model ◽  
Dropout Rate ◽  
Developed Countries ◽  
School Enrollment ◽  
Primary Data ◽  
Dropping Out ◽  
High Dropout Rate ◽  
The Developed Countries ◽  
Major Factors

Education is an important pillar for the development of any society. Generally, school enrollment in developing countries is observed very low compared to the developed countries and the situation is further worsened by the high dropout rate. The current study investigates the major factors responsible for high dropouts in Islamabad, Pakistan, particularly in rural areas. For this purpose, the primary data have been obtained through a detailed questionnaire collecting information on child socioeconomic, household, cultural, and other characteristics. For modeling purposes, Probit model is used to investigate the effects of various factors on high child dropout rate. The results revealed that besides the distance from school to home, financial constraints are the most important reason for dropping out. Moreover, the education of father, age of the child and the gender of the child are also highly significant variables that determine the probability of a child dropout.

scholarly journals Dropout in schema therapy for personality disorders

2018 ◽  
Vol 21 (2) ◽  
Author(s):  
İsmail Volkan Gülüm
Keyword(s):  
Personality Disorders ◽  
Dropout Rate ◽  
Drop Out ◽  
Dropout Rates ◽  
Schema Therapy ◽  
Weighted Mean ◽  
Group Settings ◽  
Research Findings ◽  
Meta Analyses ◽  
Outpatient Settings

Schema therapy (ST) is a relatively new, but promising, psychotherapy approach. Able to be implemented in both individual and group settings, research findings suggest that ST is a highly effective treatment for personality disorders. As in other treatments for personality disorders, some patients decide to drop out from treatment, feeling they did not benefit. To date, there has been no study in the literature that investigates the dropout rates across ST studies specifically. Consequently, this study systematically researched eight different ST studies in which dropout rates were reported. Together, these studies featured both individual and group therapy settings, inpatient and outpatient settings, and different personality disorder diagnoses. The weighted mean dropout rate was 23.3%, 95% CI (14.8-31.7%) across these studies. Although this finding is very similar to those meta-analyses that obtained their dropout rates from different orientations and diagnoses, namely psychotherapy in general, ST’s dropout rates might be significantly lower than studies that included personality disorders in particular.

scholarly journals Social quotas, affirmative actions, and dropout in the Business field: empirical analysis in a Brazilian federal university

2016 ◽  
Vol 28 (73) ◽  
pp. 27-42 ◽  
Author(s):  
Larissa Couto Campos ◽  
Thalyson Renan Bitencourt Machado ◽  
Gilberto José Miranda ◽  
Patrícia de Souza Costa
Keyword(s):  
Higher Education ◽  
Inclusive Education ◽  
Scientific Literature ◽  
Education Institution ◽  
Dropout Rate ◽  
Dropout Rates ◽  
Economic Losses ◽  
Public Higher Education ◽  
Social Cooperation ◽  
First Semester

ABSTRACT Rawls' Justice Theory establishes that a fair society must allow less advantaged people to have access to the benefits of social cooperation. In this line of thought, the affirmative actions established by Law 12,711/2012 aim at promoting inclusive education in Higher Education. Evaluating the performance of affirmative actions, specifically their impact on the dropout level, has been a theme of debate in scientific literature. Besides representing a personal frustration, dropout is associated with significant academic, social, and economic losses. In this context, this research aims at analyzing whether the adoption of affirmative actions, as established by Law 12,711/2012, affects the dropout rates of students in Accounting Sciences and other courses in the Business field. The study was conducted through documentary research in a Brazilian public Higher Education institution (HEI). The results of binomial analysis showed that out of the 2,418 students who entered in the first semester of 2013, 520 (22%) dropped out from university until the end of the first semester of 2014. It was found that the dropout rate among entrants in the Business field, either through broad competition or using the system of quotas, was 29%. In the course of Accounting Sciences, the dropout rate among entrants admitted through broad competition was 25% and using the system of quotas it was 23%. Contrary to other investigations, this study found that there is no statistical difference between the dropout rates among entrants in the Business and Accounting Sciences fields through broad competition and quotas, suggesting that affirmative actions do not affect significantly the dropout rates.

scholarly journals Prevalence of school desertion during teenage pregnancy from public schools in Valle del Cauca, 2006

2011 ◽  
pp. 303-308 ◽  
Author(s):  
Iván Osorio ◽  
Mauricio Hernández
Keyword(s):  
Public Schools ◽  
Pregnant Women ◽  
Teen Pregnancy ◽  
Teenage Pregnancy ◽  
Educational Institution ◽  
Dropout Rate ◽  
Dropping Out ◽  
P Value ◽  
School Grade ◽  
Valle Del Cauca

Background: In this study, based on the educational institution, we investigated the relationship between teen pregnancy and school dropout rates and how this influenced the school grade and age of pregnant women as a risk of truancy. Materials and methods: A voluntary survey was carried out in 180 public education institutions from the Department of Valle del Cauca, corresponding to a total of 112,470 female students, finding 605 pregnant women. From these, 564 were interviewed by a psychology professional at the beginning of the academic period, and monitored throughout the school year, identifying the school dropouts in this group. Results: We found that 24.6% of pregnant teenagers attending school dropped out during the academic period (8 times higher than the expected dropout rate in females). By analyzing the information, it was found that pregnant school girls between 16 and 18 years of age dropped out significantly less (p value = 0.011 <0.05) than those between 12 and 15 years of age, and that with the lowest school grade level reached there was higher probability of dropping out (p <0.001); this being the key element as a risk factor.Conclusions: Considering that the risk of dropping out as result of pregnancy is higher in school between the ages of 12 and 15 years, it should be encouraged efforts of pregnancy prevention mainly in the lower grades of high school with the intention of increasing academic and social opportunities in the group of young people. Authors

scholarly journals Recommendation System for Major University Determination Based on Student’s Profile and Interest

2017 ◽  
Vol 2 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Desi Purwanti Kusumaningrum ◽  
Noor Ageng Setiyanto ◽  
Erwin Yudi Hidayat ◽  
Khafiizh Hastuti
Keyword(s):  
Recommendation System ◽  
Dropping Out ◽  
Prospective Students ◽  
National Education ◽  
Academic System ◽  
New Students ◽  
Education Statistics ◽  
Academic Information ◽  
The Relationship ◽  
Selection Of

Failure study on university students is one of the serious problems we face today. Data from the Centre for Education Statistics Research and Development of the Ministry of National Education Republic of Indonesia showed that the percentage of students graduate on time from 2001 to 2011 only reached 51.97%. In addition, cases of students dropping out at the beginning of the semester is also quite significant. One of the causes of failure of this study was the selection of major’s errors when applying to university. This study offers a selection subject recommendation system that builds on the profile data and student’s interest using the technique of Association Rule. Results of the rules of the relationship will then be matched with prospective students using questionnaires dynamic, so expect new students get recommendations more valid subject fit the profile and interest respectively. The system built on this research utilizes student data stored on the academic system of Dian Nuswantoro University. This model however can be adapted by all the universities that has a system of academic information. At the end of this system is expected to be used to minimize failures caused students study majors election mistakes

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